درخت حوزه‌های تخصصی

The present study is intended to examine relationship among competency and succession planning in Telecommunication Infrastructure Company of Iran (TICIR). This study was carried out as an applied research in terms of objective and it was assumed as a descriptive survey by taking approach toward interpretative structural modeling. The statistical population of this study comprised of two groups of experts and directors (Directors general, chairmen of offices, responsible experts and experts of TICIR Company). To determine sample size for first statistical population, 20 of experts were elected using non-randomized and selective sampling method and in order to specify sample size for second statistical population 340 participants were chosen including directors general, deputies of directors general, chairmen of offices, responsible experts and other experts of TICIR Company.The result from succession planning model showed that the variable of succession planning reached to a level higher than satisfactory rate therefore all of the related elements were placed higher than satisfactory level except variable of commitment that was at good level. Similarly, variable of competency was also placed at the level higher than satisfactory rate in this study. Therefore, all of these variables reached to the level higher than satisfactory rate.

In customs management, the main problem is balancing the needs of trade facilita-tion as a process of simplifying and accelerating foreign business on the one hand and countering illegal trade, reducing government revenue, capital sleep and the level of controls and interventions on the other. Also, due to the financial crisis in recent years, risk management has been reconsidered, although this attention is related to various financial branches. Since risk analysis and identification is the main component of risk management, developing a suitable model for data analysis is of particular importance. The purpose of this study was to use data data analysis techniques to develop an intelligent model to timely predict the risk of import declarations in customs and thus prevent irreparable losses. In this study, data analysis techniques have been used according to the statistical population which is data-driven. Statistical data were extracted from www.eplonline.ir with 575006 import declarations of all Iranian customs during 2019-2020. having pre-processed and prepared the data using PCA, LDA and FastICA methods, attribute reduction and effective attribute extraction were performed using 14 data analysis algorithms. Using Python software, algorithms were trained and modeled with 80% of the final data. Then, 14 obtained models were tested and validated with 20% of the data. Finally, the results of these models were compared with each other and the model obtained from the random forest algorithm was selected as a comprehensive model for predicting and determining the level of risk of import declarations at customs.

Media literacy is a topic that is concerned with the audience's power of understanding of the way in which media works and how they make sense thereof, and seeks to make this analysis a habit and a task for the audience. In this regard, present research provides a model for promotion of public relations with an emphasis on media literacy among managers and employees of Mazandaran Gas Company. In this paper, the data were sorted out through three stages after introduction of the concept media literacy using the qualitative method of grounded theory and holding 15 in-depth, semi-structured interviews with the academics and experts of the field, and following a content analysis. Based on the findings, the model is made up of five components: 1. The elements promoting media literacy at three macro (i.e. formulation of educational rubrics, changing educational methods, culture building with media literacy potential, adopting a problem-oriented approach, creating a national Internet, coherence and consistency in policy making and planning, and media content monitoring), intermediate (i.e. group interaction with colleagues and management training), and micro (i.e. technological knowledge, cognitive knowledge, media knowledge, and content production); 2. Decisive factors (categories of macro, intermediate, and macro level factors); 3. Interfering factors (including government intervention, lack of legislation or regulations); 4. Strategies (including policy and planning strategies, educational strategies, and culture- and discourse building strategies; 5. Consequences (i.e. economic, social, cultural, political, technological, communication, environmental, and individual-behavioral consequences).

In recent years, Blockchain technology has been recognized as one of the most important new technologies affecting businesses and society, with a very bright future ahead. This technology is known as one of the most critical technologies of industry 4. Given that Blockchain technology is a new concept, before implementing it, the organization must understand it and be prepared to accept it; otherwise, the organization will incur irreparable damages. The main purpose of this study is to provide a framework within which organizations can evaluate their readiness to implement Blockchain technology. For this purpose, after a library study and systematic literature review, this study provided the initial research framework using the meta-synthesis method. Finally, the Lawshe model was applied to validate the proposed framework for the organization's readiness to implement Blockchain technology. Based on the findings, the final established framework included seven main dimensions, including Blockchain-based business strategy, operations of a distributed system, culture, people in Blockchain decentralized network, decentralized governance, technology, and Blockchain-based product traceability. Besides, 37 main criteria affected these dimensions, which can help companies increase the level of Blockchain technology readiness. Finally, this framework was used to measure the readiness of an airline company. According to the results of the analysis, Blockchain-based business strategy, culture, and Blockchain-based product traceability showed a medium level of readiness. Moreover, none of the main dimensions of Blockchain technology readiness were sufficiently prepared in this case study. This paper suggests practical recommendations to improve the level of Blockchain technology readiness for the managers